godiva87's Stars
yyywxk/RGTNet
Implementation for paper: Residual grounding transformer network for terrain recognition on the lunar surface.
moosewoler/change-viewer
An image viewer for opening and browsing .2B files of ChangE4 project published by NAOC
nitin-rathi/hybrid-snn-conversion
Training spiking networks with hybrid ann-snn conversion and spike-based backpropagation
fangwei123456/Spike-Element-Wise-ResNet
Deep Residual Learning in Spiking Neural Networks
AndrewAnnex/asap_stereo
Ames Stereo Automated Pipeline (ASAP) for reproducible DEMs
NeoGeographyToolkit/StereoPipeline
The NASA Ames Stereo Pipeline is a suite of automated geodesy & stereogrammetry tools designed for processing planetary imagery captured from orbiting and landed robotic explorers on other planets.
isolabs/numbat
A transformer based approach to learning in the context of offworld terrain images. The approach leverages self-distillation with no supervision; it learns largely from unsupervised images.
Collin-Emerson-Miller/Terrain-Classification
This is the repository for classifying terrain such as sand rock and gravel using machine learning.
GanggangDong/SARroad
A GF-3 SAR Dataset of Road Segmentation
ANYbotics/grid_map
Universal grid map library for mobile robotic mapping
lyh983012/ES-imagenet-master
code for generating data set ES-ImageNet with corresponding training code
AtsushiSakai/PythonRobotics
Python sample codes for robotics algorithms.
Nurgak/Virtual-Robot-Challenge
How-to on simulating a robot with V-REP and controlling it with ROS
Octavian-ai/shortest-path
Finding shortest paths with Graph Networks
zhm-real/PathPlanning
Common used path planning algorithms with animations.
prgumd/SpikeMS
SpikeMS: Deep Spiking Neural Network for Motion Segmentation
MrGiovanni/UNetPlusPlus
[IEEE TMI] Official Implementation for UNet++
JunMa11/SegLossOdyssey
A collection of loss functions for medical image segmentation
qubvel/segmentation_models
Segmentation models with pretrained backbones. Keras and TensorFlow Keras.
zijundeng/pytorch-semantic-segmentation
PyTorch for Semantic Segmentation
liruilong940607/liruilong940607.github.io.old
This is my personal web page
bermanmaxim/LovaszSoftmax
Code for the Lovász-Softmax loss (CVPR 2018)
dannyneil/spiking_relu_conversion
xiatiandeairen/norse
Deep learning with spiking neural networks (SNNs) in PyTorch.
zhongyuchen/snn-iir
PyTorch implementation of IJCAI 2020 paper Exploiting Neuron and Synapse Filter Dynamics in Spatial Temporal Learning of Deep Spiking Neural Network
petrovicu/siamese-torch
Pytorch implementation of SNN
AishuaiYao/PyTorch
pytorch的练习工程
shelhamer/fcn.berkeleyvision.org
Fully Convolutional Networks for Semantic Segmentation by Jonathan Long*, Evan Shelhamer*, and Trevor Darrell. CVPR 2015 and PAMI 2016.
L1aoXingyu/Deep-Learning-Project-Template
A best practice for deep learning project template architecture.
L1aoXingyu/fcn.pytorch